Analysis and feature extraction of laser micro-Doppler signatures based on Hilbert-Huang transforms

被引：0
作者：
机构：
[1] College of Electronics and Information Engineering, Sichuan University, Chengdu
来源：
Li, Z. (lizhi@scu.edu.cn) | 1600年 / Science Press卷 / 40期
关键词：
Empirical mode decomposition; Hilbert-Huang transforms; Micro Doppler; Signal processing; Smoothed pseudo Wigner-Ville distribution; Weak modulation;
D O I：
10.3788/CJL201340.0809004
中图分类号：
学科分类号：
摘要：
In the laser micro-Doppler signature analysis of vibrating targets, the joint time-frequency methods can provide useful information for target detection, classification and recognition. The analysis of the general nonlinear and non-stationary signal with traditional time-frequency analysis method can effectively extract signal characteristics. But there are great limitations in the strong background noise and weak modulation channel conditions. Hilbert-Huang transform (HHT) is employed as a new approach in micro-Doppler analysis. Simulation results in Matlab software show that it can achieve better performance than smoothed pseudo Wigner-Ville distribution (SPWVD) in different channel conditions.
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